Research on Individual Soldier Radio Surveillance Equipment for Battlefield Situation Awareness

Article Preview

Abstract:

Individual soldier plays a more and more important role in the complex environment of battlefield electromagnetism, and its combat ability should be improved rapidly. A situation awareness system based on individual soldier radio surveillance equipment is presented. The probable equipment adapts mini size and low power hardware and intelligent signal processing technology. In this system, every soldier acts as a reconnaissance sensor, and also he can be a node among the battlefield situation awareness network. The system can improve the ability of battlefield situation awareness and the combat ability in the future information battlefield.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

1521-1524

Citation:

Online since:

April 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ljubiea, Levente, Srdjan, etal. Self-organizationin mobile Ad hoc network. the approach of terminodes. IEEE Communication Magazine, 2001, 39(6): 166-174.

Google Scholar

[2] Agrej, Clarel. An integrated arehitecture for cooperative sensing networks[J]. IEEE Computer Magazine, 2000, 33(5): 106-108.

Google Scholar

[3] Stephentem, Preichhart, and Roger Dygert. The software radio development system. IEEE Personal Communications, August (1999).

Google Scholar

[4] Recommendation ITU-R. The Prediction of field strength for land mobile and terrestrial broadcasting services in the frequency range form 1 to 3GHz. (1995).

Google Scholar

[5] AkyildizI. F, SuW, SankarasubramaniamY, CayireiE. A survey on sensor networks. IEEE Communication Magzine, August2002.

Google Scholar

[6] Ryota Yamasaki, Atsushi Ogino, Tsuyoshi Tamaki, et al. TDOA Location System for IEEE 802. 11b WLAN. IEEE Wireless Communications and Networking Conference, 2005, 4: 2338-2343.

DOI: 10.1109/wcnc.2005.1424880

Google Scholar

[7] Y. T Chan, Herman Yau Chin Hang, Pak-chung Ching. Exact and Approximate Maximum Likelihood Localization Algorithms. IEEE Trans on VTC, 2006, 55(1): 10-16.

DOI: 10.1109/tvt.2005.861162

Google Scholar

[8] N.P. Ta. A wavelet Packet approach to radio signal modulation classifieation. ICCS'94. Singapore, Vol. l: 210-214.

DOI: 10.1109/iccs.1994.474076

Google Scholar